sys.path=['C:\\Users\\cspah\\AppData\\Local\\Temp\\houdini_temp\\train_hqueue\\pdgtemp\\36156\\scripts', 'C:\\PROGRA~1\\SIDEEF~1\\HOUDIN~1.277\\python310\\python310.zip', 'C:\\PROGRA~1\\SIDEEF~1\\HOUDIN~1.277\\python310\\DLLs', 'C:\\PROGRA~1\\SIDEEF~1\\HOUDIN~1.277\\python310\\lib', 'C:\\PROGRA~1\\SIDEEF~1\\HOUDIN~1.277\\python310', 'C:\\Users\\cspah\\Downloads\\MLDeformer\\ml\\venv.localscheduler1', 'C:\\Users\\cspah\\Downloads\\MLDeformer\\ml\\venv.localscheduler1\\lib\\site-packages', 'C:/Users/cspah/AppData/Local/Temp/houdini_temp/train_hqueue/pdgtemp/36156/scripts']

data_byte_count=20282944
input_dimension=189
target_dimension=128
len(data_set)=20282928
input_byte_count=756
target_byte_count=512
labeled_example_count=15996

Files:
data_set_path='C:/Users/cspah/Downloads/MLDeformer/ml/data_set/data_set.raw'
onnx_model_path='C:/Users/cspah/Downloads/MLDeformer/ml/models/model_h0.onnx'
checkpoint_path='C:/Users/cspah/Downloads/MLDeformer/ml/states/state.checkpoint'
best_model_path='C:/Users/cspah/Downloads/MLDeformer/ml/states/state_best.pt'

Hyperparameters:
self.connectivity.input_width=189
hidden_widths:
self.connectivity.output_width=128
self.shuffle=True
self.shuffle_random_seed=205
self.limit_size=False
self.upper_limit=0
self.weight_initialization_random_seed=205
self.epochs_per_evaluation=16
self.patience=16
self.max_batch_size=256
self.optimization_algorithm='adam'
self.learning_rate=0.0001
self.beta1=0.9
self.beta2=0.999
self.epoch_max=1000000
self.weight_decay=1e-06
self.enable_early_stopping=True
self.training_data_proportion=80
self.validation_data_proportion=20

Determine device type based on availability
device=device(type='cpu')

data_byte_count=20282944
input_dimension=189
target_dimension=128
len(data_set)=20282928
input_byte_count=756
target_byte_count=512
labeled_example_count=15996
Use 15996 labeled_examples

size of training set: 12796
Size of validation set: 3200

No checkpoint file exists: train from scratch

Train for at most 1000000 additional epochs:

[  *] 0          training 0.1371491774916649      validation 0.1388433208832374      
[  *] 16         training 0.09205373302102089     validation 0.09362735140782136     
[  *] 32         training 0.07769601061940193     validation 0.07925081596924709     
[  *] 48         training 0.06671192362904549     validation 0.0682289577447451      
[  *] 64         training 0.05791304223239422     validation 0.059365590317891195    
[  *] 80         training 0.05070309825241566     validation 0.05211255269554945     
[  *] 96         training 0.04468663454055786     validation 0.04605158905570324     
[  *] 112        training 0.03959445625543594     validation 0.040881021664692804    
[  *] 128        training 0.035237317830324175    validation 0.036466965021995396    
[  *] 144        training 0.031471203081309795    validation 0.032644493505358696    
[  *] 160        training 0.028193134739995004    validation 0.029310267561903365    
[  *] 176        training 0.025338051058351994    validation 0.02639449559725248     
[  *] 192        training 0.022825459614396096    validation 0.0238266853758922      
[  *] 208        training 0.02062022726982832     validation 0.021570662323098917    
[  *] 224        training 0.01866005692631006     validation 0.01955068498276747     
[  *] 240        training 0.01692119712010026     validation 0.017755340068386152    
[  *] 256        training 0.015367080103605985    validation 0.016152864751907494    
[  *] 272        training 0.013984479755163193    validation 0.014728398707050543    
[  *] 288        training 0.012754874173551797    validation 0.013438939403455991    
[  *] 304        training 0.011664922125637531    validation 0.012297050669216193    
[  *] 320        training 0.01069068444892764     validation 0.011284829260638127    
[  *] 336        training 0.009837718978524208    validation 0.010389536475906005    
[  *] 352        training 0.009086575992405414    validation 0.009591800733827628    
[  *] 368        training 0.0084185575786978      validation 0.008888592262967275    
[  *] 384        training 0.007820786861702799    validation 0.00824885403450865     
[  *] 400        training 0.007276088185608387    validation 0.0076710991203211825   
[  *] 416        training 0.006774284457787871    validation 0.007136493634719115    
[  *] 432        training 0.006312110479921102    validation 0.006644616834819317    
[  *] 448        training 0.005887977182865143    validation 0.006193386426625343    
[  *] 464        training 0.005490705305710435    validation 0.005769093700039845    
[  *] 480        training 0.005132147120311856    validation 0.005383795127272606    
[  *] 496        training 0.004798874035477638    validation 0.005026964470744133    
[  *] 512        training 0.004494496081024408    validation 0.004700169576188693    
[  *] 528        training 0.004213927057571709    validation 0.004402746679261327    
[  *] 544        training 0.003957119169645012    validation 0.004125885307215727    
[  *] 560        training 0.0037205842277035117   validation 0.0038741979067428755   
[  *] 576        training 0.0035027620987966657   validation 0.003643568157433317    
[  *] 592        training 0.0033018307434394957   validation 0.003430747176305606    
[  *] 608        training 0.003112779539078474    validation 0.0032313469474991928   
[  *] 624        training 0.0029372134152799846   validation 0.003045156383170531    
[  *] 640        training 0.0027768540428951384   validation 0.0028770467839561976   
[  *] 656        training 0.0026299399649724366   validation 0.002721115857219467    
[  *] 672        training 0.002496391017921269    validation 0.002578836167231202    
[  *] 688        training 0.002371262437663972    validation 0.002449175199637046    
[  *] 704        training 0.0022568411636166275   validation 0.0023273440758482767   
[  *] 720        training 0.002161100539378822    validation 0.0022261577407614542   
[  *] 736        training 0.0020678161992691456   validation 0.002126577471454556    
[  *] 752        training 0.0019885135046206416   validation 0.002044159354856954    
[  *] 768        training 0.001920353469904512    validation 0.001971417608169409    
[  *] 784        training 0.0018596801697276532   validation 0.001908170166783608    
[  *] 800        training 0.0018085890146903694   validation 0.0018526971196899046   
[  *] 816        training 0.0017681488068774342   validation 0.0018101930528735886   
[  *] 832        training 0.001735368564259261    validation 0.0017737101566476317   
[  *] 848        training 0.0017063598358072341   validation 0.0017441832908214284   
[  *] 864        training 0.0016873665037564934   validation 0.001724010960270579    
[  *] 880        training 0.0016726075019687413   validation 0.0017078850472059387   
[  *] 896        training 0.001663692081347108    validation 0.0016987190062466722   
[  *] 912        training 0.00165704729501158     validation 0.001691827792316102    
[  *] 928        training 0.0016549234790727496   validation 0.0016890470332537706   
[  *] 944        training 0.001650308519601822    validation 0.0016840001066716819   
[  *] 960        training 0.0016438521421514452   validation 0.0016771221819978494   
[  *] 976        training 0.0016437877505086362   validation 0.001676838083837468    
[  *] 992        training 0.0016391389886848628   validation 0.0016721558685486133   
[  *] 1008       training 0.001633224815595895    validation 0.0016653706015159304   
[  *] 1024       training 0.0016296357428655028   validation 0.0016621920423438917   
[  *] 1040       training 0.0016276943101547659   validation 0.0016614086746882934   
[  *] 1056       training 0.0016256887838244439   validation 0.00165899835813504     
[  *] 1072       training 0.0016213414329104125   validation 0.0016547492078433817   
[  *] 1088       training 0.0016173391556367279   validation 0.0016502859070897102   
[  *] 1104       training 0.0016166735999286175   validation 0.001648698288660783    
[  *] 1120       sys.path=['C:\\Users\\cspah\\AppData\\Local\\Temp\\houdini_temp\\train_hqueue\\pdgtemp\\36156\\scripts', 'C:\\PROGRA~1\\SIDEEF~1\\HOUDIN~1.277\\python310\\python310.zip', 'C:\\PROGRA~1\\SIDEEF~1\\HOUDIN~1.277\\python310\\DLLs', 'C:\\PROGRA~1\\SIDEEF~1\\HOUDIN~1.277\\python310\\lib', 'C:\\PROGRA~1\\SIDEEF~1\\HOUDIN~1.277\\python310', 'C:\\Users\\cspah\\Downloads\\MLDeformer\\ml\\venv.localscheduler1', 'C:\\Users\\cspah\\Downloads\\MLDeformer\\ml\\venv.localscheduler1\\lib\\site-packages', 'C:/Users/cspah/AppData/Local/Temp/houdini_temp/train_hqueue/pdgtemp/36156/scripts']

data_byte_count=20282944
input_dimension=189
target_dimension=128
len(data_set)=20282928
input_byte_count=756
target_byte_count=512
labeled_example_count=15996

Files:
data_set_path='C:/Users/cspah/Downloads/MLDeformer/ml/data_set/data_set.raw'
onnx_model_path='C:/Users/cspah/Downloads/MLDeformer/ml/models/model_h0.onnx'
checkpoint_path='C:/Users/cspah/Downloads/MLDeformer/ml/states/state.checkpoint'
best_model_path='C:/Users/cspah/Downloads/MLDeformer/ml/states/state_best.pt'

Hyperparameters:
self.connectivity.input_width=189
hidden_widths:
self.connectivity.output_width=128
self.shuffle=True
self.shuffle_random_seed=205
self.limit_size=False
self.upper_limit=0
self.weight_initialization_random_seed=205
self.epochs_per_evaluation=16
self.patience=16
self.max_batch_size=256
self.optimization_algorithm='adam'
self.learning_rate=0.0001
self.beta1=0.9
self.beta2=0.999
self.epoch_max=1000000
self.weight_decay=1e-06
self.enable_early_stopping=True
self.training_data_proportion=80
self.validation_data_proportion=20

Determine device type based on availability
device=device(type='cpu')

data_byte_count=20282944
input_dimension=189
target_dimension=128
len(data_set)=20282928
input_byte_count=756
target_byte_count=512
labeled_example_count=15996
Use 15996 labeled_examples

size of training set: 12796
Size of validation set: 3200

No checkpoint file exists: train from scratch

Train for at most 1000000 additional epochs:

[  *] 0          training 0.1371491774916649      validation 0.1388433208832374      
[  *] 16         training 0.09205373302102089     validation 0.09362735140782136     
[  *] 32         training 0.07769601061940193     validation 0.07925081596924709     
[  *] 48         training 0.06671192362904549     validation 0.0682289577447451      
[  *] 64         training 0.05791304223239422     validation 0.059365590317891195    
[  *] 80         training 0.05070309825241566     validation 0.05211255269554945     
[  *] 96         training 0.04468663454055786     validation 0.04605158905570324     
[  *] 112        training 0.03959445625543594     validation 0.040881021664692804    
[  *] 128        training 0.035237317830324175    validation 0.036466965021995396    
[  *] 144        training 0.031471203081309795    validation 0.032644493505358696    
[  *] 160        training 0.028193134739995004    validation 0.029310267561903365    
[  *] 176        training 0.025338051058351994    validation 0.02639449559725248     
[  *] 192        training 0.022825459614396096    validation 0.0238266853758922      
[  *] 208        training 0.02062022726982832     validation 0.021570662323098917    
[  *] 224        training 0.01866005692631006     validation 0.01955068498276747     
[  *] 240        training 0.01692119712010026     validation 0.017755340068386152    
[  *] 256        training 0.015367080103605985    validation 0.016152864751907494    
[  *] 272        training 0.013984479755163193    validation 0.014728398707050543    
[  *] 288        training 0.012754874173551797    validation 0.013438939403455991    
[  *] 304        training 0.011664922125637531    validation 0.012297050669216193    
[  *] 320        training 0.01069068444892764     validation 0.011284829260638127    
[  *] 336        training 0.009837718978524208    validation 0.010389536475906005    
[  *] 352        training 0.009086575992405414    validation 0.009591800733827628    
[  *] 368        training 0.0084185575786978      validation 0.008888592262967275    
[  *] 384        training 0.007820786861702799    validation 0.00824885403450865     
[  *] 400        training 0.007276088185608387    validation 0.0076710991203211825   
[  *] 416        training 0.006774284457787871    validation 0.007136493634719115    
[  *] 432        training 0.006312110479921102    validation 0.006644616834819317    
[  *] 448        training 0.005887977182865143    validation 0.006193386426625343    
[  *] 464        training 0.005490705305710435    validation 0.005769093700039845    
[  *] 480        training 0.005132147120311856    validation 0.005383795127272606    
[  *] 496        training 0.004798874035477638    validation 0.005026964470744133    
[  *] 512        training 0.004494496081024408    validation 0.004700169576188693    
[  *] 528        training 0.004213927057571709    validation 0.004402746679261327    
[  *] 544        training 0.003957119169645012    validation 0.004125885307215727    
[  *] 560        training 0.0037205842277035117   validation 0.0038741979067428755   
[  *] 576        training 0.0035027620987966657   validation 0.003643568157433317    
[  *] 592        training 0.0033018307434394957   validation 0.003430747176305606    
[  *] 608        training 0.003112779539078474    validation 0.0032313469474991928   
[  *] 624        training 0.0029372134152799846   validation 0.003045156383170531    
[  *] 640        training 0.0027768540428951384   validation 0.0028770467839561976   
[  *] 656        training 0.0026299399649724366   validation 0.002721115857219467    
[  *] 672        training 0.002496391017921269    validation 0.002578836167231202    
[  *] 688        training 0.002371262437663972    validation 0.002449175199637046    
[  *] 704        training 0.0022568411636166275   validation 0.0023273440758482767   
[  *] 720        training 0.002161100539378822    validation 0.0022261577407614542   
[  *] 736        training 0.0020678161992691456   validation 0.002126577471454556    
[  *] 752        training 0.0019885135046206416   validation 0.002044159354856954    
[  *] 768        training 0.001920353469904512    validation 0.001971417608169409    
[  *] 784        training 0.0018596801697276532   validation 0.001908170166783608    
[  *] 800        training 0.0018085890146903694   validation 0.0018526971196899046   
[  *] 816        training 0.0017681488068774342   validation 0.0018101930528735886   
[  *] 832        training 0.001735368564259261    validation 0.0017737101566476317   
[  *] 848        training 0.0017063598358072341   validation 0.0017441832908214284   
[  *] 864        training 0.0016873665037564934   validation 0.001724010960270579    
[  *] 880        training 0.0016726075019687413   validation 0.0017078850472059387   
[  *] 896        training 0.001663692081347108    validation 0.0016987190062466722   
[  *] 912        training 0.00165704729501158     validation 0.001691827792316102    
[  *] 928        training 0.0016549234790727496   validation 0.0016890470332537706   
[  *] 944        training 0.001650308519601822    validation 0.0016840001066716819   
[  *] 960        training 0.0016438521421514452   validation 0.0016771221819978494   
[  *] 976        training 0.0016437877505086362   validation 0.001676838083837468    
[  *] 992        training 0.0016391389886848628   validation 0.0016721558685486133   
[  *] 1008       training 0.001633224815595895    validation 0.0016653706015159304   
[  *] 1024       training 0.0016296357428655028   validation 0.0016621920423438917   
[  *] 1040       training 0.0016276943101547659   validation 0.0016614086746882934   
[  *] 1056       training 0.0016256887838244439   validation 0.00165899835813504     
[  *] 1072       training 0.0016213414329104125   validation 0.0016547492078433817   
[  *] 1088       training 0.0016173391556367279   validation 0.0016502859070897102   
[  *] 1104       training 0.0016166735999286175   validation 0.001648698288660783    
[  *] 1120       training 0.0016131462529301644   validation 0.0016449861891137867   
[  *] 1136       training 0.0016105618560686707   validation 0.0016437086473720579   
[  *] 1152       training 0.0016092424304224552   validation 0.001640694932295726    
[  *] 1168       training 0.001605299157090485    validation 0.0016373282280535651   
[  *] 1184       training 0.001603551779408008    validation 0.0016365956980735064   
[  *] 1200       training 0.0016019450081512332   validation 0.0016353429527953267   
[  *] 1216       training 0.0016001647245138884   validation 0.0016336651572671074   
[  *] 1232       training 0.001597744475584477    validation 0.0016293675961116185   
[  *] 1248       training 0.0015948701230809091   validation 0.0016284009190992666   
[  *] 1264       training 0.0015927234012633562   validation 0.0016244740422385244   
[  0] 1280       training 0.0015915630967356265   validation 0.001624967374552328    
[  *] 1296       training 0.0015896279318258167   validation 0.0016222108925621097   
[  *] 1312       training 0.0015873808530159294   validation 0.0016211741783011418   
[  *] 1328       training 0.0015865440410561859   validation 0.0016183143553252404   
[  *] 1344       training 0.001584969984833151    validation 0.0016166267003147649   
[  *] 1360       training 0.0015815307153388858   validation 0.0016138421532769615   
[  *] 1376       training 0.0015805401373654604   validation 0.0016133469224979098   
[  *] 1392       training 0.0015790465171448887   validation 0.0016113413372435248   
[  *] 1408       training 0.0015762530616484582   validation 0.0016082982317759441   
[  *] 1424       training 0.0015743077057413758   validation 0.001607083545352977    
[  *] 1440       training 0.0015713027329184114   validation 0.001603402904807948    
[  *] 1456       training 0.0015717507083900272   validation 0.001602841317295455    
[  0] 1472       training 0.0015714331460185348   validation 0.0016042617991423379   
[  *] 1488       training 0.0015699012181721627   validation 0.0016013503414936936   
[  *] 1504       training 0.0015661665704101325   validation 0.001599292100693744    
[  *] 1520       training 0.0015655774413608015   validation 0.0015972451521800114   
[  *] 1536       training 0.0015624710265547037   validation 0.0015942170105587977   
[  *] 1552       training 0.0015618124743923545   validation 0.0015938218074062695   
[  *] 1568       training 0.0015608714031986892   validation 0.0015925051232513327   
[  0] 1584       training 0.0015600168402306735   validation 0.0015928617750222867   
[  *] 1600       training 0.0015582539420574903   validation 0.001589219175422421    
[  *] 1616       training 0.0015556096215732396   validation 0.0015875696240422817   
[  0] 1632       training 0.0015568380733020604   validation 0.001588990490955229    
[  *] 1648       training 0.0015541128162294626   validation 0.001585572868442306    
[  *] 1664       training 0.001553383618593216    validation 0.0015852877762741768   
[  *] 1680       training 0.0015535644977353513   validation 0.0015848052526752537   
[  *] 1696       training 0.001549213845282793    validation 0.001581212872854219    
[  *] 1712       training 0.0015477150655351579   validation 0.0015796609760190432   
[  0] 1728       training 0.0015502151334658265   validation 0.0015828325950468963   
[  *] 1744       training 0.0015471215592697263   validation 0.0015790118262744867   
[  *] 1760       training 0.0015448835026472807   validation 0.0015766609531755631   
[  *] 1776       training 0.0015433700056746602   validation 0.0015758723199654084   
[  *] 1792       training 0.001542891710996628    validation 0.00157363810397398     
[  *] 1808       training 0.001541706898715347    validation 0.001573476421002012    
[  0] 1824       training 0.0015415306063368917   validation 0.00157388062395442     
[  1] 1840       training 0.0015409731981344522   validation 0.0015736827716374626   
[  *] 1856       training 0.0015381134441122414   validation 0.0015699305356695102   
[  *] 1872       training 0.0015368562191724778   validation 0.001569031522824214    
[  *] 1888       training 0.0015370065695606173   validation 0.0015675284846041065   
[  *] 1904       training 0.0015351775591261685   validation 0.0015671490602051984   
[  0] 1920       training 0.00153516901191324     validation 0.0015676410492652883   
[  1] 1936       training 0.0015348006621934474   validation 0.0015677586197853088   
[  *] 1952       training 0.001532630438450724    validation 0.0015652541232366974   
[  *] 1968       training 0.0015310219139792025   validation 0.0015633885587493961   
[  0] 1984       training 0.001531549331266433    validation 0.001563806552439928    
[  *] 2000       training 0.0015297292079776525   validation 0.0015628388724648035   
[  *] 2016       training 0.0015280804922804237   validation 0.0015603215970958655   
[  *] 2032       training 0.0015279481117613613   validation 0.0015599344086904938   
[  *] 2048       training 0.0015276628779247402   validation 0.0015594588341907812   
[  *] 2064       training 0.0015262947976589203   validation 0.001558072712773887    
[  *] 2080       training 0.0015256368787959218   validation 0.0015576808140254938   
[  *] 2096       training 0.001526138330809772    validation 0.0015570971702870268   
[  *] 2112       training 0.0015223985840566456   validation 0.0015544000959310394   
[  0] 2128       training 0.0015226009814068675   validation 0.0015556864762822022   
[  *] 2144       training 0.0015213011391460895   validation 0.001552404656719703    
[  *] 2160       training 0.0015196617809124292   validation 0.00155227727149255     
[  0] 2176       training 0.0015202937158755958   validation 0.0015527960718967593   
[  1] 2192       training 0.0015214464091695846   validation 0.0015552361370422519   
[  *] 2208       training 0.0015166654088534415   validation 0.0015487358905375004   
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[ 13] 4864       training 0.0014642482879571616   validation 0.001499625209432382    
[ 14] 4880       training 0.001464310265146196    validation 0.0014993641794157715   
[ 15] 4896       training 0.0014634817279875279   validation 0.0014981576510203572   

Saved training state consisting of:
the current model state
the current optimizer state
epoch=4896
improvement_check=16

Saved current best model
Exported current best model to ONNX format

Training has terminated before reaching the maximum number of epochs.
Created file indicating termination.
